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Predictive Density Order Selection of Periodic AR Models
Authors:Mohamed Bentarzi  Hafida Guerbyenne  Roukia Hemis
Affiliation:1. Faculty of Mathematics , University of Science and Technology Houari Boumediene , Algiers, Algeria mohamedbentarzi@yahoo.fr;3. Faculty of Mathematics , University of Science and Technology Houari Boumediene , Algiers, Algeria;4. Faculty of Sciences , Ferhat Abbas University , Sétif, Algeria
Abstract:
This article considers the order selection problem of periodic autoregressive models. Our main goal is the adaptation of the Bayesian Predictive Density Criterion (PDC), established by Djuric' and Kay (1992 Djuric' , P. M. , Kay , S. M. ( 1992 ). Order selection of autoregressive models . IEEE Transactions on Signal Processing 40 : 2829 – 2833 . [Google Scholar]) for selecting the order of a stationary autoreg-ressive model, to deal with the order identification problem of a periodic autoregressive model. The performance of the established criterion, (P-PDC), is compared, via simulation studies, to the performances of some well-known existing criteria.
Keywords:Bayesian approach  Non informative prior densities  Periodic autoregressive model  Predictive density criterion
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